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Up-converted self-trapped exciton luminescence via seven-phonon absorption in the Na/Bi-alloyed Cs2AgInCl6 lead-free double perovskite is reported.

As the most common nonepithelial malignancy, prostate adenocarcinoma (PRAD) is the fifth chief cause of cancer mortality in men. Distant metastasis often occurs in advanced PRAD and most patients are dying from it. However, the mechanism of PRAD progression and metastasis is still unclear. It’s widely reported that more than 94% of genes are selectively splicing in humans and many isoforms are particularly related with cancer progression and metastasis. Spliceosome mutations occur in a mutually exclusive manner in breast cancer, and different components of spliceosomes are targets of somatic mutations in different types of breast cancer. Existing evidence strongly supports the key role of alternative splicing in breast cancer biology, and innovative tools are being developed to use splicing events for diagnostic and therapeutic purposes. In order to identify if the PRAD metastasis is associated with alternative splicing events (ASEs), the RNA sequencing data and ASEs data of 500 PRAD patients were retrieved from The Cancer Genome Atlas (TCGA) and TCGASpliceSeq databases. By Lasso regression, five genes were screened to construct the prediction model, with a good reliability by ROC curve. Additionally, results in both univariate and multivariate Cox regression analysis confirmed the well prognosis efficacy of the prediction model (both P P P

The development of advanced luminescent materials is highly desirable for addressing the rising threat of forgery.

Gliomas including astrocytomas, oligodendrogliomas, mixed oligoastrocytic, and mixed glioneuronal tumors are an important group of brain tumors. Based on the 2016 WHO classification for tumors in the central nervous system, gliomas were classified into four grades, from I to IV, and brain lower grade glioma (LGG) consists of grade II and grade III. Patients with LGG may undergo recurrence, which makes clinical treatment tough. Stem cell-like features of cancer cells play a key role in tumor’s biological behaviors, including tumorigenesis, development, and clinical prognosis. In this article, we quantified the stemness feature of cancer cells using the mRNA stemness index (mRNAsi) and identified stemness-related key genes based on correlation with mRNAsi. Besides, hallmark gene sets and translate factors (TFs) which were highly related to stemness-related key genes were identified. Therefore, a recurrency-specific network was constructed and a potential regulation pathway was identified. Several online databases, assay for transposase-accessible chromatin using sequencing (ATAC-seq), single-cell sequencing analysis, and immunohistochemistry were utilized to validate the scientific hypothesis. Finally, we proposed that aurora kinase A (AURKA), positively regulated by Non-SMC Condensin I Complex Subunit G (NCAPG), promoted E2F target pathway in LGG, which played an important role in LGG recurrence.

We report an active–passive Q-switched laser based on graphene-covered microfiber modulator. The graphene-covered microfiber not only serves as a passive saturable absorber in a single laser cavity, but also can be used as an all-optical modulation device to synchronize two pulses generated from different wavelengths. The laser can not only actively change the output frequency of the Q-switched pulse to achieve the repetition frequency reduction, but also compress the pulse and increase the peak power of the output pulse. We successfully achieve the output of the active–passive Q-switched pulse using this fiber laser with a repetition rate from 41.1 kHz to 50.5 kHz. The fiber laser has potential applications in simultaneous output of multi-wavelength pulse.

Time synchronization in wireless sensor networks,aiming to provide a common sense of timing among distributed sensor nodes, is a key enabling technology for many applications, such as collaborative condition monitoring, time-of-flight localization and underwater navigation and tactical surveillance. In order to solve the challenges of the manufacturing tolerance and working condition variations in any real-world environments, a novel state-space model for pulse-coupled non-identical oscillators is proposed to model a realistic clock oscillator with nonidentical and time-varying frequency. A state feedback correction, referred to as hybrid coupling mechanism, is also proposed to ensure the system move into steady state, thus achieving time synchronization in wireless sensor networks. Furthermore, the intensive simulations of single-hop wireless sensor networks have been carried out to evaluate the performance of proposed pulsecoupled non-identical oscillators. It is shown that a partially connected wireless network consisting of 50 non-identical pulsecoupled oscillators can achieve the synchronization with the precision of $40us.$

We demonstrated an all fiber temperature sensor based on two pieces PDMS-graphene pliable composite film (PGF) covered microfiber ring resonator (MRR). This sandwich structure can significantly enhance the interaction between the transition light and the PGF through the evanescent wave of the MRR. The results show the light transmission changed exceed 16 dB. In the range of 30–60 °C, the proposed sensor demonstrated the temperature sensitivity of 0.544 dB °C−1 with R-square of 0.9982 during the heating process, and 0.536 dB °C−1 with R-square of 0.9976 during the cooling process. Our method introduces a novel temperature sensor with the advantages of high sensitivity, ultra compactness, corrosion resistance and robust, which we believe is greatly potential in applications such as data center temperature detection.

Terrain geometry and radiation characteristics of radar images have strong influence. The correction of these effects becomes indispensable when quantitative image analysis is performed with respect to the derivation of geo- and biophysical parameters. Based on RD geo-location model and digital elevation model, an ortho-rectification and TRC implementation flow was introduced. The correctness and effectiveness of the method were qualitatively and quantitatively evaluated through several experimentations. By comparing two kinds of effective TRC methods, we found the project-angle based method is more effective than the local incidence-angle based method. The rationality of computing effective TRC factor using initial SAR geo-location model was also demonstrated.

In order to improve the precision and speed of the three-dimensional point cloud registration, it is suggested the three-dimensional point cloud registration based on ICP algorithm employing k-d tree optimization in this paper. First of all, the centre superposition method is adopted to realize the point cloud coarse registration, and then improve the traditional ICP where the K-D tree is used to quickly search the closest pair of points to enhance the speed of the point cloud registration. Finally the Three dimensional point cloud coarse registration is completed precisely. The method overcomes the defects of the traditional ICP algorithm using Euclidean distance to determine the closest pair of points which is time-consuming and plains lots of work. On the basis of this method, the experiment can be verified through different density Bunny Stanford point cloud data. The result shows that using K-d tree optimization of ICP algorithm, the precision, speed and stability of the point cloud registration is improved when the centre superposition method is adopted to realize the three dimensional point cloud coarse registration.

Digital elevation model (DEM), as an important product of digital photogrammetry and digital surveying and mapping, it plays an increasingly important role in the field of surveying and mapping and geographic information system. In this paper, it introduces the current generation methods of DEM by contour, and analyzes those interpolation methods that commonly are used to build DEM, and then describes the advantages and disadvantages of different building DEM methods systematically. Focusing on the DEM that represented by Grid and TIN, it compares the optimization methods of interpolation contour data systematically, and makes the contour interpolating DEM reflect the surface condition of the real nature more effectively.

In this letter, we report a novel microstrip interdigital hairpin resonator by having the parallel coupled lines in a conventional miniaturized hairpin resonator replaced by an interdigital capacitor. Equations are derived in order to design the resonator with an optimal physical length. It will be proved that the novel resonator can achieve even more size reduction than the conventional miniaturized hairpin resonator owing to the employment of the slow-wave structure. Finally, a four-pole cross-coupled bandpass filter using the optimal resonator is fabricated as verification

This paper investigates the optimal miniaturization of a helical resonator, which is in the form of a two turn helix. We theoretically demonstrate that its outmost dimension can be reduced to below 1% of the free space wavelength at resonance. Maximum miniaturization is achieved at an optimal metallic fill ratio of around 0.2 independent of diameter. Simulation and experimental results were used to validate the theoretical model and explore the miniaturization level achievable. The broadside coupled split ring resonators have the same optimal properties, but for identically sized resonator the helical design provides a factor of 2 greater miniaturization. © 2008 American Institute of Physics.

The use of radial stubs in microstrip stepped-impedance resonator bandpass filters is investigated. It is noticed that the stopband rejection level can be enhanced with minor deterioration in the filter's passband characteristics. Demonstration filters were fabricated with the measured and simulated results presented.

A novel compact microstrip resonator is proposed with its equivalent circuit. Its resonant properties can then be analytically predicted. Finally, a bandpass filter using this resonator is designed, fabricated and measured, providing an excellent verification on its attractive features such as outstanding spurious response and compactness

Network coordinates (NC) system is an efficient mechanism for Internet distance prediction with scalable measurements. The intrinsical cause for the unsatisfactory accuracy of the simulation-based NC algorithms has been identified. Then Pharos, a fully decentralised and hierarchical scheme, is proposed to solve this problem. Pharos leverages multiple coordinate sets at different distance scales, with the right scale being chosen for prediction each time. We evaluate the performance of Pharos system with the King data set and latency data from PlanetLab, and compare it with the representative NC system, Vivaldi. The experimental results show that Pharos greatly outperforms Vivaldi in Internet distance prediction without adding any significant overhead. Our extensive evaluation results also demonstrate that Pharos can significantly improve the performance in distributed Internet applications, such as overlay multicast and server selection.